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Characterization of the Key Aroma Compounds in Two Commercial Dark Chocolates with High Cocoa Contents by Means of the Sensomics Approach

机译:通过传感器方法表征两种商用黑巧克力的关键芳香化合物,通过感应感方法进行高可可含量

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摘要

The overall aroma of two orthonasally distinguishable dark chocolates with high cocoa content (90% CC and 99% CC) was decoded using the systematic sensomics approach, including solvent extraction, separation of the volatiles, identification using aroma extract dilution analysis (AEDA) based on gas chromatography-olfactometry (GC-O) combined with gas chromatography-mass spectrometry (GC-MS), quantitation by stable isotope dilution analysis (SIDA), calculation of odor activity values (OAVs), and recombination experiments. Sixty-nine aroma-active compounds were identified and quantitation of 49 compounds revealed 28 odorants in 90% CC and 30 aroma-active compounds in 99% CC with OAVs >= 1. Among them, dimethyl trisulfide, acetic acid, 2-methoxyphenol, 3-methylbutanoic acid, phenylacetic acid, vanillin, and linalool showed the highest OAVs. Subsequently, very high similarities of the reconstitution models, containing all odorants with OAVs >= 1 in their naturally occurring concentrations in odorless sunflower oil as matrix, proved the correct identification and quantitation of all key odorants in both dark chocolates.
机译:使用系统的传感方法对具有高可可含量(90%CC和99%CC)进行解码的两种正交可区分的黑巧克力的总体香气,包括溶剂萃取,挥发物分离,使用基于的香气提取物稀释分析(AEDA)鉴定气相色谱 - 嗅觉 - 嗅觉测量(GC-O)与气相色谱 - 质谱(GC-MS)联合,通过稳定同位素稀释分析(SIDA)的定量,测量气味活性值(OAV)和重组实验。鉴定六十九个香气活性化合物,49种化合物的定量揭示了90%CC和30个香气活性化合物中的28个气味,其中含有OAV> = 1.其中,三硫化物,乙酸,2-甲氧基苯酚, 3-甲基丁酸,苯基乙酸,香草醛和LINALOOL显示出最高的OAV。随后,重构模型的非常高的相似性,含有Oavs> = 1的所有气味剂在无味的向日葵油中的天然浓度为矩阵,证明了两种深色巧克力中所有关键气味的正确识别和定量。

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